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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stachniss, C. Mozos, O.M. Burgard, W. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., Freiburg Univ. (Stachniss, C.; Mozos, O.M.; Burgard, W.) |
| Abstract | In this paper, we consider the problem of exploring an unknown environment with a team of mobile robots. One of the key issues in multi-robot exploration is how to assign target locations to the individual robots. To better distribute the robots over the environment and to avoid redundant work, we take into account the type of place a potential target is located in (e.g., a corridor or a room). To determine the type of a place, we apply a classifier learned with AdaBoost which additionally considers spatial dependencies between nearby locations. Our approach to incorporate the type of places in the coordination of the robots has been implemented and tested in different environments. The experiments demonstrate that our system effectively distributes the robots over the environment and allows them to accomplish their mission faster compared to approaches that ignore the semantic place labels |
| Sponsorship | IEEE Robotics and Autom. Soc |
| Starting Page | 1692 |
| Ending Page | 1697 |
| File Size | 239027 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395050 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2006.1641950 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot kinematics Robot sensing systems Mobile robots Interference Collaboration Computer science Testing Reconnaissance Cleaning Collaborative work |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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